applied-ml

📚 Papers & tech blogs by companies sharing their work on data science & machine learning in production.

approachingalmost

Approaching (Almost) Any Machine Learning Problem

arviz

Exploratory analysis of Bayesian models with Python

awesome-data-engineering-learning

Awesome list of data engineering learning materials by subject

awesome-iot

Awesome IoT. A collaborative list of great resources about IoT Framework, Library, OS, Platform

awesome-mlops

A curated list of references for MLOps

bayesian-analysis-recipes

A collection of Bayesian data analysis recipes using PyMC3

bayesian-modelling-in-python

A python tutorial on bayesian modeling techniques (PyMC3)

bayesianprobabilitiesworkshop

A collection of questions and solutions to problems presented at Rasmus Bååth's Bayesian probabilities workshop.

bazaarnazari.blog

bizancio3

Github homepage

data-science

Collection of useful data science topics along with code and articles

de-zoomcamp23

personal repository for data engineering zoomcamp (cohort 2023)

deepschool.io

Deep Learning tutorials in jupyter notebooks.

elements-of-statistical-learning

Contains LaTeX, SciPy and R code providing solutions to exercises in Elements of Statistical Learning (Hastie, Tibshirani & Friedman)

emqx

An Open-Source, Cloud-Native, Distributed MQTT Message Broker for IoT.

gan-intro

homemade-machine-learning

🤖 Python examples of popular machine learning algorithms with interactive Jupyter demos and math being explained

incubator-superset

Apache Superset (incubating) is a modern, enterprise-ready business intelligence web application

knet-the-julia-dope

An interactive book on deep learning. Much easy, so Knet. Wow.

ml-design-patterns

Source code accompanying O'Reilly book: Machine Learning Design Patterns

ml-study-plan

The Ultimate FREE Machine Learning Study Plan

ml-zoomcamp

Learn ML engineering in 4 months

mlbookcamp-code

The code from the Machine Learning Bookcamp book

model-productization_article

This is repo to demonstrate how to convert from Jupyter Notebook to scripts with some engineering practices

numpy-100

100 numpy exercises (with solutions)

optimus

:truck: Agile Data Science Workflows made easy with Python and Spark.

overview_optalgs

prefect-cloud-gcp

Repository template to get started with Prefect Cloud & Google Cloud

probabilistic-programming-and-bayesian-methods-for-hackers

aka "Bayesian Methods for Hackers": An introduction to Bayesian methods + probabilistic programming with a computation/understanding-first, mathematics-second point of view. All in pure Python ;)